Contributor
Karthik Karunanithi is a solution architect at IBM with more than 12 years of experience across enterprise software, cloud platforms and applied AI. His work focuses on production agentic AI: designing multi-agent systems, Model Context Protocol (MCP) integrations and the security, identity and reliability architecture that determines whether AI systems survive real enterprise deployment. He is a senior member of the IEEE and an active contributor to applied AI research, serving as a peer reviewer for leading AI research conferences and as a technical reviewer for several AI and machine learning publishers. He writes regularly about production agentic AI and enterprise architecture, drawing on what he has seen work, and fail, in real systems.
ContributorKarthik Karunanithi is a solution architect at IBM with more than 12 years of experience across enterprise software, cloud platforms and applied AI. His work focuses on production agentic AI: designing multi-agent systems, Model Context Protocol (MCP) integrations and the security, identity and reliability architecture that determines whether AI systems survive real enterprise deployment. He is a senior member of the IEEE and an active contributor to applied AI research, serving as a peer reviewer for leading AI research conferences and as a technical reviewer for several AI and machine learning publishers. He writes regularly about production agentic AI and enterprise architecture, drawing on what he has seen work, and fail, in real systems.
